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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: togethercomputer/evo-1-8k-base |
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model-index: |
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- name: lora_evo_ta_all_layers_5 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lora_evo_ta_all_layers_5 |
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This model is a fine-tuned version of [togethercomputer/evo-1-8k-base](https://huggingface.co/togethercomputer/evo-1-8k-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9413 |
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## Model description |
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Maybe the best one: |
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lora_alpha = 32 |
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lora_dropout = 0.05 |
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lora_r = 16 |
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epochs = 3 |
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learning rate = 3e-4 |
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warmup_steps=85 <------- |
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gradient_accumulation_steps = 8 |
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train_batch = 1 |
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eval_batch = 1 |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0003 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_steps: 85 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 3.0785 | 0.9925 | 33 | 2.9956 | |
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| 2.9204 | 1.9850 | 66 | 2.9531 | |
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| 2.7515 | 2.9774 | 99 | 2.9413 | |
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### Framework versions |
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- PEFT 0.11.1 |
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- Transformers 4.41.1 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
